Applied Multivariate Analysis in SAR and Environmental Studies: Eurocourses: Chemical and Environmental Science, cartea 2
Editat de J. Devillers, W. Karcheren Limba Engleză Paperback – 6 noi 2012
Preț: 639.30 lei
Preț vechi: 752.12 lei
-15% Nou
Puncte Express: 959
Preț estimativ în valută:
122.39€ • 127.22$ • 101.47£
122.39€ • 127.22$ • 101.47£
Carte tipărită la comandă
Livrare economică 06-20 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789401054102
ISBN-10: 940105410X
Pagini: 544
Ilustrații: X, 530 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.75 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Eurocourses: Chemical and Environmental Science
Locul publicării:Dordrecht, Netherlands
ISBN-10: 940105410X
Pagini: 544
Ilustrații: X, 530 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.75 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Eurocourses: Chemical and Environmental Science
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Presentation of correspondence analysis and multiple correspondence analysis with the help of examples..- Multiple factor analysis: a method to analyse several groups of variables measured on the same set of individuals..- Principal component and correspondence analyses with respect to instrumental variables: an overview of their role in studies of structure-activity and species-environment relationships..- Basic procedures in hierarchical cluster analysis..- Interpretation of hierarchical clustering..- Graphical techniques for multidimensional data analysis..- Factor analysis and risk perception..- The use of similarity and clustering techniques for the prediction of molecular properties..- Multivariate analysis of the input and output data in the fugacity model level I..- Multivariate analyses in genetic toxicology..- A structure-biodegradability relationship model by discriminant analysis..- Multivariate image analysis in chemistry: an overview..- Chemical multivariate image analysis: some case studies..- Multilayer neural networks applied to structure-activity relationships..